Data Scientist
Orbis Operations | |
United States, Virginia, McLean | |
Dec 28, 2024 | |
Orbis Operations is seeking an experienced Data Scientist with a focus on training, building, and implementing Large Language Models (LLMs) to join our innovative team. The successful candidate will work directly with government clients to leverage LLMs in mission-critical applications, driving impactful results through advanced natural language processing techniques. This role requires a candidate with deep expertise in developing and deploying LLMs within government environments, with a passion for cutting-edge data science and artificial intelligence technologies.
Key Responsibilities Duties/Responsibilities
Supervisory Responsibilities This position has no supervisory responsibilities Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. PhD preferred. 5+ years of experience as a Data Scientist, with specific expertise in training and deploying Large Language Models (LLMs). Experience working with government agencies or within the public sector, understanding unique challenges and compliance requirements (e.g., data security, privacy, etc.). Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) with demonstrated experience in developing LLMs. Strong knowledge of natural language processing (NLP) techniques, including transformer architectures such as GPT, BERT, or similar. Experience in handling large datasets and optimizing models for performance and scalability. Strong problem-solving skills, with the ability to translate mission requirements into AI-driven solutions. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical audiences. ACTIVE Security Clearance TS SCI w Poly Preferred Qualifications:
Physical Requirements
About Orbis Operations Orbis Operations is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Apply Now
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